Towards Realistic Membership Inferences: The Case of Survey Data. - Luke A. Bauer; Vincent Bindschaedler (ACSAC, 2020)

Generative Models for Security: Attacks, Defenses, and Opportunities. - Luke A. Bauer; Vincent Bindschaedler (CoRR, 2021)

Covert Message Passing over Public Internet Platforms Using Model-Based Format-Transforming Encryption. - Luke A. Bauer; James K. Howes IV; Sam A. Markelon; Vincent Bindschaedler; Thomas Shrimpton (CoRR, 2021)

On the Importance of Architecture and Feature Selection in Differentially Private Machine Learning. - Wenxuan Bao; Luke A. Bauer; Vincent Bindschaedler (CoRR, 2022)

Attacks as Defenses: Designing Robust Audio CAPTCHAs Using Attacks on Automatic Speech Recognition Systems. - Hadi Abdullah; Aditya Karlekar; Saurabh Prasad; Muhammad Sajidur Rahman; Logan Blue; Luke A. Bauer; Vincent Bindschaedler; Patrick Traynor (NDSS, 2023)

EMI-LiDAR: Uncovering Vulnerabilities of LiDAR Sensors in Autonomous Driving Setting using Electromagnetic Interference. - Sri Hrushikesh Varma Bhupathiraju; Jennifer Sheldon; Luke A. Bauer; Vincent Bindschaedler; Takeshi Sugawara 001; Sara Rampazzi (WISEC, 2023)

Leveraging Generative Models for Covert Messaging: Challenges and Tradeoffs for "Dead-Drop" Deployments. - Luke A. Bauer; James K. Howes IV; Sam A. Markelon; Vincent Bindschaedler; Thomas Shrimpton (CODASPY, 2024)

Provably Secure Covert Messaging Using Image-Based Diffusion Processes. - Luke A. Bauer; Wenxuan Bao; Vincent Bindschaedler (SaTML, 2025)

Inference Attacks for X-Vector Speaker Anonymization. - Luke A. Bauer; Wenxuan Bao; Malvika Jadhav; Vincent Bindschaedler (SP (Workshops), 2025)